Jev vs GPT-5.6 Terra: cost per decision
Production example · monthly
- Jev 1.13
- $126.00
- GPT-5.6 Terra
- $6,240
GPT-5.6 Terra: 50x the Jev bill
Terra is the step up teams reach for when Luna starts getting classifications wrong. It bills 10.0 times Luna's output rate, which is the half of the bill Jev does not have at all.
Standard base token prices checked 2026-10-17. OpenAI pricing source. Check vendor terms before budgeting; other tiers and long-context rates can differ.
Light
10k items/day, 300-token state, 2 questions
- Jev 1.13
- $8.57/mo
- GPT-5.6 Terra
- $360.00/mo
42x the Jev bill
Production
100k items/day, 500-token state, 4 questions
- Jev 1.13
- $126.00/mo
- GPT-5.6 Terra
- $6,240/mo
50x the Jev bill
High volume
2M items/day, 300-token state, 1 question
- Jev 1.13
- $1,512/mo
- GPT-5.6 Terra
- $48,000/mo
32x the Jev bill
Monthly, 30 days. Both sides answer all questions for an item in a single call. GPT-5.6 Terra additionally pays for its output tokens at $12/M; Jev 1.13 has no output charge. Jev 1.13’s figures include the ~260 tokens every request is measured to bill; the GPT-5.6 Terra figures count your content only, with no system prompt or schema, so they are a floor. List prices at standard tier, excluding caching and batch discounts. Comparison rates checked 2026-10-17; verify current vendor prices before budgeting.
Where GPT-5.6 Terra still wins
Terra reasons over ambiguity better than a typed question can express. If your labels overlap and the boundary is genuinely a judgement call, that judgement is what you are paying for.
The honest caveat
This compares price, not accuracy. A model that is 100x cheaper and wrong 5% more often can easily be the more expensive choice once you price the mistakes. Jev returns a calibrated probability with every answer, so the practical move is to route the confident cases automatically and send the rest to GPT-5.6 Terra or a human — which makes this a routing decision rather than a replacement decision.
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What Jev AI is, what it costs and its limits →
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